Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Improving Children's Knowledge of Fraction MagnitudesGrantee Submission, 2016-10, Vol.11 (10), p.e0165243-e0165243 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Fazio et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Fazio et al 2016 Fazio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0165243 ;PMID: 27768756Full text available |
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Material Type: Article
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Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliabilityGrantee Submission, 2018-10, Vol.13 (10), p.e0203002-e0203002 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Martinková et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Martinková et al 2018 Martinková et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0203002 ;PMID: 30289923Full text available |
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Material Type: Article
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Cognitive mediators of US—China differences in early symbolic arithmeticGrantee Submission, 2021-08, Vol.16 (8), p.e0255283-e0255283 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;2021 Opfer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Opfer et al 2021 Opfer et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0255283 ;PMID: 34432810Full text available |
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4 |
Material Type: Article
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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE studyGrantee Submission, 2019-02, Vol.14 (2), p.e0212488-e0212488 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Balyan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Balyan et al 2019 Balyan et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0212488 ;PMID: 30794616Full text available |